Applied AI Engineer

Product Engineering (Elevate & Core Infrastructure)

• Architect and build the Universal Agent: Design the central orchestration layer for our "Elevate" platform, allowing the AI to autonomously perform complex actions across integrated marketing tools.
• Implement MCP Strategy: Lead the adoption of the Model Context Protocol (MCP) to standardize how our agents connect to external APIs, databases, and third-party platforms.

Client & Agency Automation

• Bespoke Agent Development: Prototype and deploy specialized AI agents or automation workflows for our internal process automation and B2B clients (e.g. Automated File handling, Data Analysis Pipelines, Automated Reporting).

Technical Implementation

• Advanced Integrations: Build custom connectors for complex APIs, handling authentication and data transformation programmatically.
• Custom Tooling: Extend the capabilities of standard automation platforms by writing custom nodes, scripts, and microservices in TypeScript or Python.
• Reliability Engineering: Ensure all workflows are production-grade, implementing comprehensive error handling, logging, and rate-limit management strategies.

• Engineering Background: 5+ years of experience in software development (Backend focus) with a strong portfolio of AI/Automation projects.
• Coding Proficiency: Strong production skills in TypeScript (Node.js) or Python. You must be comfortable writing code when low-code tools reach their functional limits.
• API Architecture: Experience working with REST, GraphQL, and Webhooks. Ability to reverse-engineer private APIs when necessary.
• LLM Architecture: Deep understanding of Large Language Models, including Prompt Engineering (OpenAI, Anthropic), Function Calling (Tool Use), Embeddings and RAG.
• Automation Workflows Expertise: Experience with workflow automation software and workflows like N8N, Zapier, Make or Langchain
• Database Knowledge: Proficiency with SQL and Vector Stores.

• USD compensation that values your expertise.‍
• Work from anywhere: Fully remote to suit your lifestyle.‍
• 31 days of paid time off: 21 days of annual leave + 10 days of sick leave, because your health and work-life balance matter.‍
• Growth-focused environment: Access to learning resources and clear pathways for growth.‍
• Fun team events: Virtual cooking classes, yoga sessions, team quizzes and more
• ‍A culture of trust: We cut the red tape — results over rules always. Open talk, ownership, and getting things done together.

• Screening Interview (45 minutes) – Initial conversation with a recruiter.
• Test Assignment (2 days) – Complete a task to showcase your skills.
• Team Interview (up to 60 minutes) – A meeting with your potential Team Lead and future colleagues to assess team fit and discuss role-specific responsibilities, expectations and workflows.‍
• Technical Interview (up to 60 minutes) – A deep dive into your functional expertise, problem-solving approach, and practical skills relevant to the role.
• Offer – If successful, you’ll receive an offer to join our team.

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‍AI Digital does not discriminate on the basis of race, color, religion, gender identity or expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class in terms of employment. We support workplace diversity and believe strongly that it contributes to a broader collective perspective that consistently leads to better products and a better company. We are working hard to increase the diversity of our team.